Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics)

Fahrmeir, Ludwig; Tutz, Gerhard

ISBN 10: 0387951873 / ISBN 13: 9780387951874

Verlag: Springer, 2001

In. Bestandsnummer des Verkäufers ria9780387951874_new

Inhaltsangabe:

Since our first edition of this book, many developments in statistical mod­ elling based on generalized linear models have been published, and our primary aim is to bring the book up to date. Naturally, the choice of these recent developments reflects our own teaching and research interests. The new organization parallels that of the first edition. We try to motiv­ ate and illustrate concepts with examples using real data, and most data sets are available on http:/ fwww. stat. uni-muenchen. de/welcome_e. html, with a link to data archive. We could not treat all recent developments in the main text, and in such cases we point to references at the end of each chapter. Many changes will be found in several sections, especially with those connected to Bayesian concepts. For example, the treatment of marginal models in Chapter 3 is now current and state-of-the-art. The coverage of nonparametric and semiparametric generalized regression in Chapter 5 is completely rewritten with a shift of emphasis to linear bases, as well as new sections on local smoothing approaches and Bayesian inference. Chapter 6 now incorporates developments in parametric modelling of both time series and longitudinal data. Additionally, random effect models in Chapter 7 now cover nonparametric maximum likelihood and a new section on fully Bayesian approaches. The modifications and extensions in Chapter 8 reflect the rapid development in state space and hidden Markov models.

Bibliografische Details

Titel: Multivariate Statistical Modelling Based on ...
Verlag: Springer
Erscheinungsdatum: 2001
Einband: Hardcover
Zustand: New
Auflage: 2. Auflage